Projects

ReUseX

ReUseX

ReUseX is based on the Ph.D. research of Povl Filip Sonne-Frederiksen, focused on making the reuse of vacant buildings more practical and cost-effective. Vacant structures often end up demolished because reuse seems complex and uncertain. This research addresses that challenge by simplifying early-stage 3D mapping, providing accurate data and actionable insights right from the start. With better information early in the process, stakeholders can reduce risk, plan smarter, and make reuse a viable option—ultimately lowering the CO₂ footprint of construction and supporting circular economy principles. To achieve this, the research introduces a workflow that combines affordable scanning, intelligent segmentation, and streamlined reconstruction. Instead of relying on expensive, specialized scanners, the approach uses consumer-grade devices such as iPhones or iPads to capture LiDAR and RGB data, making early mapping possible before major budgets are allocated. Captured data is then processed using advanced algorithms to identify and classify building components efficiently. By leveraging image-based models, segmentation becomes both accurate and computationally efficient, enabling quick resource assessments.

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3D Mapping of Vacant Buildings for Reuse

3D Mapping of Vacant Buildings for Reuse

Abstract The dissertation explores innovative computational methods for mapping and reusing vacant buildings, a critical step in advancing sustainability within the architecture, engineering, and construction (AEC) industry. With vacant structures contributing significantly to environmental challenges, this research addresses the pressing need for efficient tools to document and assess building components for reuse, which aligns with circular economy principles. The study introduces a robust pipeline for automated 3D mapping, leveraging LiDAR and RGB data captured via consumer-grade devices like the iPad Pro. The methodology combines advanced geometric processing and machine learning techniques to segment point clouds and generate simplified solid surface models for early-phase architectural analysis.

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Axis

Axis

This is a robot control plugin for Rhinoceros 3D/Grasshopper that allows users to define and manipulate robot toolpaths right from with in the design and modeling environment.

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Defining Inhabitable Space through Form-Generation driven by Complex Wood Joinery

Defining Inhabitable Space through Form-Generation driven by Complex Wood Joinery

For architecture to become reality it has to go hand in hand with construction. This harmony of construction and architecture or structure and construction is summarised in the theory of tectonics.

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